Jiurong Liang
- Molecular Biology top 2%
- Pulmonary and Respiratory Medicine top 0.5%
- Cell Biology top 0.2%
- Immunology top 1%
- Surgery top 5%
- Co-authors
- Paul W. NobleDianhua JiangTing XieNingshan LiuShuang YuJuan FanRobert HomerDaniel R. Goldstein
- Topics
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (32 papers)Neonatal Respiratory Health Research (24 papers)Proteoglycans and glycosaminoglycans research (19 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jiurong Liang
71 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Molecular Biology 3.0k
- Pulmonary and Respiratory Medicine 3.0k
- Cell Biology 2.1k
- Immunology 1.7k
- Surgery 1.1k
Countries citing papers authored by Jiurong Liang
This map shows the geographic impact of Jiurong Liang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jiurong Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiurong Liang more than expected).
Fields of papers citing papers by Jiurong Liang
This network shows the impact of papers produced by Jiurong Liang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jiurong Liang. The network helps show where Jiurong Liang may publish in the future.
Co-authorship network of co-authors of Jiurong Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Jiurong Liang. A scholar is included among the top collaborators of Jiurong Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jiurong Liang. Jiurong Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 38 | |
| 6 | 24 | |
| 7 | 54 | |
| 8 | 90 | |
| 9 | 20 | |
| 10 | 49 | |
| 11 | 5 | |
| 12 | 49 | |
| 13 | 207 | |
| 14 | 42 | |
| 15 | Multiple stromal populations contribute to pulmonary fibrosis without evidence for epithelial to mesenchymal transitionbreakdown → | 773 |
| 16 | 111 | |
| 17 | 142 | |
| 18 | 253 | |
| 19 | Resolution of Lung Inflammation by CD44breakdown → | 552 |
| 20 | 110 |
About Jiurong Liang
Jiurong Liang is a scholar working on Pulmonary and Respiratory Medicine, Cell Biology and Immunology, having authored 71 papers that have together received 8.4k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (32 papers), Neonatal Respiratory Health Research (24 papers) and Proteoglycans and glycosaminoglycans research (19 papers). The work is most often cited by research in Cell Biology (2.1k citations), Pulmonary and Respiratory Medicine (3.0k citations) and Immunology (1.7k citations). Jiurong Liang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Paul W. Noble, Dianhua Jiang, Ting Xie, Ningshan Liu, Shuang Yu, Juan Fan, Robert Homer, Daniel R. Goldstein, Jeffrey R. Harris and Jason R. Rock. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.